gemma3n-lora-luna-memory-distill-v2
This model is a fine-tuned version of unsloth/gemma-3n-e2b-it-unsloth-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 3407
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.3125 | 20 | nan |
Framework versions
- PEFT 0.18.1
- Transformers 4.56.2
- Pytorch 2.9.0+cu126
- Datasets 4.3.0
- Tokenizers 0.22.2